Hey there!

I’m Aries, a UX Researcher and Human Factors Engineer based in the Bay Area.

Home
About

First Time in Thailand!

About me

Hi, I’m Aries Chu — a UX Researcher based in the Bay Area, passionate about designing intuitive and inclusive experiences grounded in data and empathy. I hold a Master’s degree in Human Factors and Ergonomics (UX Concentration) from San Jose State University, where I was honored with awards such as 1st Place in the CSU Research Competition and Best Video at the AutoUI Conference.

My research journey spans autonomous vehicles, medical devices, voice assistants, and enterprise tools. I specialize in mixed-methods research, combining usability testing, biometric data, heuristic evaluations, and behavioral insights to inform high-impact design decisions. From reducing driver takeover time in simulated AV studies to identifying over 80 usability issues in FDA-regulated medical device testing, I thrive at the intersection of rigorous research and real-world problem solving.

I believe impactful UX starts with asking the right questions — and I’m driven to uncover the insights that make technology work better for everyone.

My Awards

Best Video Award, AutoUI Conference at Stanford (2024)

1st place in CSU Student Research Competition in graduate-level Engineering and Computer Science (2024)

Top 10 Finalist, 2024 SJSU Student RSCA Competition (2024)

SJSU Grad Slam Finalist (2025)

Screen design displayed in a mockup
Screen design displayed in a mockup
Screen design displayed in a mockup
Screen design displayed in a mockup

Publications

  1. Chu, A., & Huang, G. (2024). Assessing Meaningful Visual and Tactile Feedback for Effective Automated Vehicle Takeover by Hearing and Non-Hearing Drivers. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting. Sage CA: Los Angeles, CA: SAGE Publications.

  2. Chu, A., & Huang, G. (2024). The Intersection of Voice Assistants and Autonomous Vehicles: A Scoping Review. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting. Sage CA: Los Angeles, CA: SAGE Publications. https://doi.org/10.1177/10711813241275908

  3. Chu, A., Lo, W. & Huang, G. (2024). Multimodal Feedback for Effective Takeover in Automated Vehicles for Hearing Impairment. In Adjunct Proceedings of the 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

  4. Chu, A., Lo, W. & Huang, G. (2025). The Impact of Mental States on Informative Takeover Request: A Study of Visual and Tactile Modalities in Automated Driving (accepted)

  5. Chu, A., Lo, W. & Huang, G. (2025). Driving with Confidence: Multimodal Feedback for Hearing Impaired Drivers in Automated Vehicles (in preparation)

  6. Dong. M, Chu, A., Etu, E. E, Jiang, L & Huang. G (2025) The Effects of Intentional Mind Wandering on Driver Takeover Performance in SAE Level 2 Automated Vehicles (in preparation)

HFES 2024 Conference in Arizona